Strategic Quantitative Development Specialist

1 day ago


Hong Kong, Central and Western District, Hong Kong SAR China BAH Partners Full time

BAH Partners is a leading global hedge fund renowned for its innovative quantitative strategies and cutting-edge approach to investing.

As a Strategic Quantitative Development Specialist, you will collaborate closely with portfolio managers and quantitative researchers on the development and implementation of trading strategies.

Key Responsibilities:

  • Design and build robust backtesting frameworks to evaluate and refine trading strategies.
  • Optimize portfolio construction and risk management processes to enhance performance.
  • Develop and maintain scalable data pipelines for efficient data ingestion, processing, and analysis.
  • Utilize advanced data analytics to uncover insights and drive decision-making.
  • Ensure the reliability, accuracy, and performance of quantitative models and tools.

Ideal Candidate Profile:

  • Proven experience as a Quant Developer or in a similar role within a hedge fund, asset management firm, or proprietary trading environment.
  • Strong technical expertise in Python or C++.
  • Demonstrated experience in data analytics, data pipeline development, and working with large datasets.
  • Solid understanding of quantitative finance concepts, including portfolio optimization, backtesting, and risk management.
  • Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
  • A proactive, problem-solving mindset with a focus on delivering high-quality results.

The Opportunity:

  • Work alongside talented professionals at a globally recognized hedge fund.
  • Contribute to the development of innovative strategies that shape the future of finance.
  • Competitive compensation package with performance-based incentives.
  • A dynamic, collaborative, and intellectually stimulating work environment.
  • Opportunities for professional growth and development within a leading organization.


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